The following pages link to (Q4363994):
Displaying 50 items.
- A Cluster Elastic Net for Multivariate Regression (Q63195) (← links)
- A conversation with Jerry Friedman (Q254457) (← links)
- Stable multi-label boosting for image annotation with structural feature selection (Q351013) (← links)
- Beam search algorithms for multilabel learning (Q374158) (← links)
- Multi-output learning via spectral filtering (Q439000) (← links)
- On label dependence and loss minimization in multi-label classification (Q439031) (← links)
- Compressed labeling on distilled labelsets for multi-label learning (Q439035) (← links)
- Simultaneous multiple response regression and inverse covariance matrix estimation via penalized Gaussian maximum likelihood (Q444979) (← links)
- Reduced-rank multi-label classification (Q517398) (← links)
- Degrees of freedom in low rank matrix estimation (Q525906) (← links)
- Remembering Leo Breiman (Q542912) (← links)
- Leo Breiman: An important intellectual and personal force in statistics, my life and that of many others (Q542914) (← links)
- A comparison of various methods for multivariate regression with highly collinear variables (Q635880) (← links)
- Estimating risk and the mean squared error matrix in Stein estimation (Q697467) (← links)
- A nonparametric empirical Bayes approach to large-scale multivariate regression (Q830438) (← links)
- Multivariate prediction (Q850736) (← links)
- Matrix-variate Dirichlet process priors with applications (Q899020) (← links)
- Bootstrapping least distance estimator in the multivariate regression model (Q961919) (← links)
- Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer (Q977622) (← links)
- Regularized partial and/or constrained redundancy analysis (Q998840) (← links)
- Convex multi-task feature learning (Q1009294) (← links)
- Flexible latent variable models for multi-task learning (Q1009298) (← links)
- Inductive transfer with context-sensitive neural networks (Q1009305) (← links)
- Bayesian sigmoid shrinkage with improper variance priors and an application to wavelet denois\-ing (Q1010462) (← links)
- Input selection and shrinkage in multiresponse linear regression (Q1020828) (← links)
- Regularized simultaneous model selection in multiple quantiles regression (Q1023905) (← links)
- On multivariate linear regression shrinkage and reduced-rank procedures (Q1125532) (← links)
- Minimax hierarchical empirical Bayes estimation in multivariate regression (Q1599240) (← links)
- A faster algorithm for ridge regression of reduced rank data (Q1608900) (← links)
- Ensembles for multi-target regression with random output selections (Q1631826) (← links)
- On the oracle property of a generalized adaptive elastic-net for multivariate linear regression with a diverging number of parameters (Q1679561) (← links)
- Multi-target regression via input space expansion: treating targets as inputs (Q1689552) (← links)
- Minimax multivariate empirical Bayes estimators under multicollinearity (Q1776877) (← links)
- Tree-based multivariate regression and density estimation with right-censored data (Q1876993) (← links)
- Multiplicative perturbation bounds for multivariate multiple linear regression in Schatten \(p\)-norms (Q2029823) (← links)
- Kernel density estimation for partial linear multivariate responses models (Q2048116) (← links)
- Optimal model averaging for multivariate regression models (Q2078519) (← links)
- Testing independence between two spatial random fields (Q2084410) (← links)
- Variable selection and collinearity processing for multivariate data via row-elastic-net regularization (Q2125732) (← links)
- Semi-automated simultaneous predictor selection for regression-SARIMA models (Q2209736) (← links)
- Capturing between-tasks covariance and similarities using multivariate linear mixed models (Q2209832) (← links)
- Multi-target prediction: a unifying view on problems and methods (Q2218329) (← links)
- Envelope method with ignorable missing data (Q2233578) (← links)
- Prediction and calibration for multiple correlated variables (Q2274948) (← links)
- A two-stage sequential conditional selection approach to sparse high-dimensional multivariate regression models (Q2304238) (← links)
- Multivariate response and parsimony for Gaussian cluster-weighted models (Q2359572) (← links)
- Constrained estimation and some useful results in several multivariate models (Q2360888) (← links)
- Selecting likelihood weights by cross-validation (Q2388343) (← links)
- Constructing a linear QSAR for some metabolizable drugs by human or pig flavin-containing monooxygenases using some molecular features selected by a genetic algorithm trained SVM (Q2415560) (← links)
- Prediction of multivariate responses with a selected number of principal components (Q2445634) (← links)
